Overview

Dataset statistics

Number of variables22
Number of observations39607
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 MiB
Average record size in memory176.0 B

Variable types

Numeric22

Alerts

X_38 is highly correlated with X_39 and 1 other fieldsHigh correlation
X_39 is highly correlated with X_38 and 1 other fieldsHigh correlation
X_40 is highly correlated with X_38 and 1 other fieldsHigh correlation
Y_01 is highly correlated with Y_02 and 1 other fieldsHigh correlation
Y_02 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_03 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_04 is highly correlated with Y_05 and 4 other fieldsHigh correlation
Y_05 is highly correlated with Y_04 and 9 other fieldsHigh correlation
Y_06 is highly correlated with Y_04 and 9 other fieldsHigh correlation
Y_07 is highly correlated with Y_04 and 4 other fieldsHigh correlation
Y_08 is highly correlated with Y_05 and 7 other fieldsHigh correlation
Y_09 is highly correlated with Y_05 and 7 other fieldsHigh correlation
Y_10 is highly correlated with Y_04 and 9 other fieldsHigh correlation
Y_11 is highly correlated with Y_04 and 9 other fieldsHigh correlation
Y_12 is highly correlated with Y_05 and 7 other fieldsHigh correlation
Y_13 is highly correlated with Y_05 and 7 other fieldsHigh correlation
Y_14 is highly correlated with Y_05 and 7 other fieldsHigh correlation
X_38 is highly correlated with X_39 and 1 other fieldsHigh correlation
X_39 is highly correlated with X_38High correlation
X_40 is highly correlated with X_38High correlation
Y_01 is highly correlated with Y_02 and 1 other fieldsHigh correlation
Y_02 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_03 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_04 is highly correlated with Y_05 and 8 other fieldsHigh correlation
Y_05 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_06 is highly correlated with Y_10High correlation
Y_07 is highly correlated with Y_04 and 2 other fieldsHigh correlation
Y_08 is highly correlated with Y_04 and 7 other fieldsHigh correlation
Y_09 is highly correlated with Y_04 and 7 other fieldsHigh correlation
Y_10 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_11 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_12 is highly correlated with Y_04 and 7 other fieldsHigh correlation
Y_13 is highly correlated with Y_04 and 7 other fieldsHigh correlation
Y_14 is highly correlated with Y_04 and 7 other fieldsHigh correlation
X_38 is highly correlated with X_39 and 1 other fieldsHigh correlation
X_39 is highly correlated with X_38 and 1 other fieldsHigh correlation
X_40 is highly correlated with X_38 and 1 other fieldsHigh correlation
Y_01 is highly correlated with Y_02 and 1 other fieldsHigh correlation
Y_02 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_03 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_04 is highly correlated with Y_05High correlation
Y_05 is highly correlated with Y_04High correlation
Y_06 is highly correlated with Y_08 and 6 other fieldsHigh correlation
Y_08 is highly correlated with Y_06 and 6 other fieldsHigh correlation
Y_09 is highly correlated with Y_06 and 6 other fieldsHigh correlation
Y_10 is highly correlated with Y_06 and 6 other fieldsHigh correlation
Y_11 is highly correlated with Y_06 and 6 other fieldsHigh correlation
Y_12 is highly correlated with Y_06 and 6 other fieldsHigh correlation
Y_13 is highly correlated with Y_06 and 6 other fieldsHigh correlation
Y_14 is highly correlated with Y_06 and 6 other fieldsHigh correlation
X_39 is highly correlated with X_40High correlation
X_40 is highly correlated with X_39High correlation
Y_01 is highly correlated with Y_02 and 4 other fieldsHigh correlation
Y_02 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_03 is highly correlated with Y_01 and 1 other fieldsHigh correlation
Y_04 is highly correlated with Y_05 and 7 other fieldsHigh correlation
Y_05 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_06 is highly correlated with Y_01 and 8 other fieldsHigh correlation
Y_07 is highly correlated with Y_01 and 4 other fieldsHigh correlation
Y_08 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_09 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_10 is highly correlated with Y_01 and 10 other fieldsHigh correlation
Y_11 is highly correlated with Y_04 and 9 other fieldsHigh correlation
Y_12 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_13 is highly correlated with Y_04 and 8 other fieldsHigh correlation
Y_14 is highly correlated with Y_04 and 8 other fieldsHigh correlation
X_38 is highly skewed (γ1 = 24.66569202) Skewed

Reproduction

Analysis started2022-08-06 10:05:56.647775
Analysis finished2022-08-06 10:07:07.330469
Duration1 minute and 10.68 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

X_33
Real number (ℝ≥0)

Distinct94
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.595723483
Minimum0.61
Maximum7.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:07:07.427847image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.61
5-th percentile1.53
Q11.55
median1.57
Q31.61
95-th percentile1.77
Maximum7.81
Range7.2
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.1080283613
Coefficient of variation (CV)0.06769867236
Kurtosis436.6207074
Mean1.595723483
Median Absolute Deviation (MAD)0.02
Skewness8.873397112
Sum63201.82
Variance0.01167012684
MonotonicityNot monotonic
2022-08-06T19:07:07.579219image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.555908
14.9%
1.565448
13.8%
1.574425
11.2%
1.543908
9.9%
1.583133
 
7.9%
1.532194
 
5.5%
1.591951
 
4.9%
1.61285
 
3.2%
1.52991
 
2.5%
1.61925
 
2.3%
Other values (84)9439
23.8%
ValueCountFrequency (%)
0.6175
 
0.2%
1.485
 
< 0.1%
1.493
 
< 0.1%
1.552
 
0.1%
1.51324
 
0.8%
1.52991
 
2.5%
1.532194
 
5.5%
1.543908
9.9%
1.555908
14.9%
1.565448
13.8%
ValueCountFrequency (%)
7.811
< 0.1%
5.761
< 0.1%
5.61
< 0.1%
5.331
< 0.1%
3.391
< 0.1%
3.371
< 0.1%
3.071
< 0.1%
2.921
< 0.1%
2.661
< 0.1%
2.61
< 0.1%

X_34
Real number (ℝ≥0)

Distinct25
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.95027066
Minimum12.84
Maximum13.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:07:07.704219image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum12.84
5-th percentile12.87
Q112.92
median12.96
Q312.99
95-th percentile13.01
Maximum13.08
Range0.24
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.04402979558
Coefficient of variation (CV)0.003399913155
Kurtosis-0.714616176
Mean12.95027066
Median Absolute Deviation (MAD)0.03
Skewness-0.4312479325
Sum512921.37
Variance0.001938622899
MonotonicityNot monotonic
2022-08-06T19:07:07.829191image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
12.994976
12.6%
12.974975
12.6%
12.963955
10.0%
12.943015
 
7.6%
12.982694
 
6.8%
12.922386
 
6.0%
12.872159
 
5.5%
13.012151
 
5.4%
12.891966
 
5.0%
131954
 
4.9%
Other values (15)9376
23.7%
ValueCountFrequency (%)
12.8426
 
0.1%
12.85109
 
0.3%
12.861010
2.6%
12.872159
5.5%
12.881146
2.9%
12.891966
5.0%
12.9897
 
2.3%
12.911896
4.8%
12.922386
6.0%
12.931260
3.2%
ValueCountFrequency (%)
13.083
 
< 0.1%
13.077
 
< 0.1%
13.0618
 
< 0.1%
13.0530
 
0.1%
13.04167
 
0.4%
13.03434
 
1.1%
13.02461
 
1.2%
13.012151
5.4%
131954
 
4.9%
12.994976
12.6%

X_35
Real number (ℝ≥0)

Distinct28
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.92034312
Minimum12.81
Maximum13.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:07:07.956426image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum12.81
5-th percentile12.85
Q112.87
median12.92
Q312.97
95-th percentile13
Maximum13.09
Range0.28
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.05223752677
Coefficient of variation (CV)0.004043044854
Kurtosis-1.234477113
Mean12.92034312
Median Absolute Deviation (MAD)0.05
Skewness0.1115970664
Sum511736.03
Variance0.002728759203
MonotonicityNot monotonic
2022-08-06T19:07:08.083700image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
12.864050
 
10.2%
12.883830
 
9.7%
12.983698
 
9.3%
12.962904
 
7.3%
12.852467
 
6.2%
12.92321
 
5.9%
12.952261
 
5.7%
12.872238
 
5.7%
12.932202
 
5.6%
12.912102
 
5.3%
Other values (18)11534
29.1%
ValueCountFrequency (%)
12.8127
 
0.1%
12.82119
 
0.3%
12.83613
 
1.5%
12.84622
 
1.6%
12.852467
6.2%
12.864050
10.2%
12.872238
5.7%
12.883830
9.7%
12.891406
 
3.5%
12.92321
5.9%
ValueCountFrequency (%)
13.091
 
< 0.1%
13.074
 
< 0.1%
13.066
 
< 0.1%
13.0521
 
0.1%
13.0432
 
0.1%
13.03156
 
0.4%
13.02437
 
1.1%
13.01511
 
1.3%
131840
4.6%
12.991707
4.3%

X_36
Real number (ℝ≥0)

Distinct26
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.94172823
Minimum12.84
Maximum13.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:07:08.224287image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum12.84
5-th percentile12.87
Q112.9
median12.95
Q312.98
95-th percentile13.01
Maximum13.09
Range0.25
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.04782963153
Coefficient of variation (CV)0.0036957685
Kurtosis-1.11221394
Mean12.94172823
Median Absolute Deviation (MAD)0.04
Skewness-0.1951259251
Sum512583.03
Variance0.002287673652
MonotonicityNot monotonic
2022-08-06T19:07:08.349257image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
12.994271
10.8%
12.974236
10.7%
12.963461
 
8.7%
12.873306
 
8.3%
12.892887
 
7.3%
12.942693
 
6.8%
12.982340
 
5.9%
12.922243
 
5.7%
12.912039
 
5.1%
13.011899
 
4.8%
Other values (16)10232
25.8%
ValueCountFrequency (%)
12.8479
 
0.2%
12.85191
 
0.5%
12.861571
4.0%
12.873306
8.3%
12.881728
4.4%
12.892887
7.3%
12.91003
 
2.5%
12.912039
5.1%
12.922243
5.7%
12.931211
 
3.1%
ValueCountFrequency (%)
13.091
 
< 0.1%
13.083
 
< 0.1%
13.073
 
< 0.1%
13.0616
 
< 0.1%
13.0524
 
0.1%
13.04148
 
0.4%
13.03451
 
1.1%
13.02453
 
1.1%
13.011899
4.8%
131798
4.5%

X_37
Real number (ℝ≥0)

Distinct28
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.91913854
Minimum12.81
Maximum13.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:07:08.489854image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum12.81
5-th percentile12.85
Q112.87
median12.91
Q312.97
95-th percentile13
Maximum13.08
Range0.27
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.05229244684
Coefficient of variation (CV)0.004047672892
Kurtosis-1.231072986
Mean12.91913854
Median Absolute Deviation (MAD)0.05
Skewness0.1536127286
Sum511688.32
Variance0.002734499996
MonotonicityNot monotonic
2022-08-06T19:07:08.630444image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
12.864238
 
10.7%
12.884163
 
10.5%
12.983541
 
8.9%
12.962871
 
7.2%
12.852466
 
6.2%
12.92342
 
5.9%
12.872202
 
5.6%
12.952184
 
5.5%
12.932148
 
5.4%
12.912016
 
5.1%
Other values (18)11436
28.9%
ValueCountFrequency (%)
12.8115
 
< 0.1%
12.82135
 
0.3%
12.83651
 
1.6%
12.84610
 
1.5%
12.852466
6.2%
12.864238
10.7%
12.872202
5.6%
12.884163
10.5%
12.891454
 
3.7%
12.92342
5.9%
ValueCountFrequency (%)
13.081
 
< 0.1%
13.074
 
< 0.1%
13.064
 
< 0.1%
13.0519
 
< 0.1%
13.0423
 
0.1%
13.03158
 
0.4%
13.02475
 
1.2%
13.01451
 
1.1%
131886
4.8%
12.991664
4.2%

X_38
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct253
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-15.90373722
Minimum-17.09
Maximum32.23
Zeros0
Zeros (%)0.0%
Negative39606
Negative (%)> 99.9%
Memory size309.6 KiB
2022-08-06T19:07:08.771035image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-17.09
5-th percentile-16.33
Q1-16.16
median-15.99
Q3-15.75
95-th percentile-15.23
Maximum32.23
Range49.32
Interquartile range (IQR)0.41

Descriptive statistics

Standard deviation0.5954204326
Coefficient of variation (CV)-0.03743902609
Kurtosis1323.925191
Mean-15.90373722
Median Absolute Deviation (MAD)0.2
Skewness24.66569202
Sum-629899.32
Variance0.3545254915
MonotonicityNot monotonic
2022-08-06T19:07:08.914388image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-16.11733
 
1.9%
-16.02711
 
1.8%
-16.04702
 
1.8%
-16.08702
 
1.8%
-16.13701
 
1.8%
-15.99694
 
1.8%
-16.17677
 
1.7%
-16.19631
 
1.6%
-16.23616
 
1.6%
-15.93597
 
1.5%
Other values (243)32843
82.9%
ValueCountFrequency (%)
-17.091
< 0.1%
-17.041
< 0.1%
-17.021
< 0.1%
-16.951
< 0.1%
-16.941
< 0.1%
-16.932
< 0.1%
-16.911
< 0.1%
-16.881
< 0.1%
-16.871
< 0.1%
-16.862
< 0.1%
ValueCountFrequency (%)
32.231
 
< 0.1%
-2.6540
0.1%
-14.11
 
< 0.1%
-14.121
 
< 0.1%
-14.381
 
< 0.1%
-14.391
 
< 0.1%
-14.413
 
< 0.1%
-14.433
 
< 0.1%
-14.452
 
< 0.1%
-14.461
 
< 0.1%

X_39
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct252
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-15.88957609
Minimum-17.09
Maximum-2.65
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:07:09.070608image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-17.09
5-th percentile-16.34
Q1-16.16
median-15.99
Q3-15.75
95-th percentile-15.24
Maximum-2.65
Range14.44
Interquartile range (IQR)0.41

Descriptive statistics

Standard deviation0.7466650861
Coefficient of variation (CV)-0.04699087515
Kurtosis246.801059
Mean-15.88957609
Median Absolute Deviation (MAD)0.19
Skewness14.15034148
Sum-629338.44
Variance0.5575087508
MonotonicityNot monotonic
2022-08-06T19:07:09.211198image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-16.08750
 
1.9%
-16.11743
 
1.9%
-15.99692
 
1.7%
-16.02689
 
1.7%
-16.13687
 
1.7%
-16.17687
 
1.7%
-16.04673
 
1.7%
-16.19654
 
1.7%
-16.23628
 
1.6%
-15.95607
 
1.5%
Other values (242)32797
82.8%
ValueCountFrequency (%)
-17.091
 
< 0.1%
-16.992
< 0.1%
-16.971
 
< 0.1%
-16.912
< 0.1%
-16.891
 
< 0.1%
-16.881
 
< 0.1%
-16.861
 
< 0.1%
-16.844
< 0.1%
-16.833
< 0.1%
-16.821
 
< 0.1%
ValueCountFrequency (%)
-2.65100
0.3%
-14.111
 
< 0.1%
-14.161
 
< 0.1%
-14.311
 
< 0.1%
-14.331
 
< 0.1%
-14.422
 
< 0.1%
-14.442
 
< 0.1%
-14.451
 
< 0.1%
-14.461
 
< 0.1%
-14.472
 
< 0.1%

X_40
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct253
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16.57216174
Minimum-17.72
Maximum-14.8
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:07:09.383027image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-17.72
5-th percentile-16.99
Q1-16.81
median-16.64
Q3-16.4
95-th percentile-15.88
Maximum-14.8
Range2.92
Interquartile range (IQR)0.41

Descriptive statistics

Standard deviation0.3444862918
Coefficient of variation (CV)-0.0207870462
Kurtosis1.339093352
Mean-16.57216174
Median Absolute Deviation (MAD)0.2
Skewness1.070539277
Sum-656373.61
Variance0.1186708052
MonotonicityNot monotonic
2022-08-06T19:07:09.523621image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-16.72724
 
1.8%
-16.7722
 
1.8%
-16.79705
 
1.8%
-16.76688
 
1.7%
-16.81676
 
1.7%
-16.67657
 
1.7%
-16.63654
 
1.7%
-16.85651
 
1.6%
-16.61616
 
1.6%
-16.71574
 
1.4%
Other values (243)32940
83.2%
ValueCountFrequency (%)
-17.722
< 0.1%
-17.621
< 0.1%
-17.591
< 0.1%
-17.581
< 0.1%
-17.562
< 0.1%
-17.551
< 0.1%
-17.531
< 0.1%
-17.511
< 0.1%
-17.52
< 0.1%
-17.491
< 0.1%
ValueCountFrequency (%)
-14.81
 
< 0.1%
-14.831
 
< 0.1%
-151
 
< 0.1%
-15.011
 
< 0.1%
-15.071
 
< 0.1%
-15.081
 
< 0.1%
-15.091
 
< 0.1%
-15.11
 
< 0.1%
-15.113
< 0.1%
-15.136
< 0.1%

Y_01
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2249
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.353813796
Minimum0.017
Maximum4.409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:07:09.695459image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.017
5-th percentile0.7833
Q11.1275
median1.349
Q31.576
95-th percentile1.931
Maximum4.409
Range4.392
Interquartile range (IQR)0.4485

Descriptive statistics

Standard deviation0.3562231101
Coefficient of variation (CV)0.2631256316
Kurtosis1.210970899
Mean1.353813796
Median Absolute Deviation (MAD)0.224
Skewness0.1502434869
Sum53620.503
Variance0.1268949041
MonotonicityNot monotonic
2022-08-06T19:07:09.836051image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.37664
 
0.2%
1.31262
 
0.2%
1.33360
 
0.2%
1.4260
 
0.2%
1.38960
 
0.2%
1.27860
 
0.2%
1.360
 
0.2%
1.30859
 
0.1%
1.458
 
0.1%
1.26358
 
0.1%
Other values (2239)39006
98.5%
ValueCountFrequency (%)
0.0171
 
< 0.1%
0.0181
 
< 0.1%
0.0192
< 0.1%
0.023
< 0.1%
0.0212
< 0.1%
0.0252
< 0.1%
0.0262
< 0.1%
0.0271
 
< 0.1%
0.0281
 
< 0.1%
0.0351
 
< 0.1%
ValueCountFrequency (%)
4.4091
< 0.1%
4.0811
< 0.1%
3.791
< 0.1%
3.721
< 0.1%
3.5291
< 0.1%
3.5181
< 0.1%
3.5011
< 0.1%
3.4991
< 0.1%
3.4191
< 0.1%
3.3641
< 0.1%

Y_02
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2227
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.057267251
Minimum0.007
Maximum3.998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:07:09.994097image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.007
5-th percentile0.45
Q10.793
median1.044
Q31.3
95-th percentile1.711
Maximum3.998
Range3.991
Interquartile range (IQR)0.507

Descriptive statistics

Standard deviation0.386265985
Coefficient of variation (CV)0.3653437527
Kurtosis0.6736418075
Mean1.057267251
Median Absolute Deviation (MAD)0.254
Skewness0.3657652688
Sum41875.184
Variance0.1492014112
MonotonicityNot monotonic
2022-08-06T19:07:10.150312image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.07259
 
0.1%
0.81459
 
0.1%
1.1258
 
0.1%
1.04357
 
0.1%
0.92456
 
0.1%
0.88856
 
0.1%
1.03155
 
0.1%
1.14455
 
0.1%
0.90255
 
0.1%
0.83454
 
0.1%
Other values (2217)39043
98.6%
ValueCountFrequency (%)
0.0072
 
< 0.1%
0.0084
< 0.1%
0.0093
< 0.1%
0.014
< 0.1%
0.0113
< 0.1%
0.0123
< 0.1%
0.0135
< 0.1%
0.0142
 
< 0.1%
0.0157
< 0.1%
0.0166
< 0.1%
ValueCountFrequency (%)
3.9981
< 0.1%
3.971
< 0.1%
3.721
< 0.1%
3.5521
< 0.1%
3.2881
< 0.1%
3.2561
< 0.1%
3.2281
< 0.1%
3.1421
< 0.1%
3.1151
< 0.1%
3.0491
< 0.1%

Y_03
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2127
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.014001717
Minimum0.017
Maximum3.756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:07:10.322143image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.017
5-th percentile0.451
Q10.769
median0.998
Q31.239
95-th percentile1.628
Maximum3.756
Range3.739
Interquartile range (IQR)0.47

Descriptive statistics

Standard deviation0.3614919509
Coefficient of variation (CV)0.3565003341
Kurtosis0.7764764849
Mean1.014001717
Median Absolute Deviation (MAD)0.235
Skewness0.396399124
Sum40161.566
Variance0.1306764305
MonotonicityNot monotonic
2022-08-06T19:07:10.478355image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.88866
 
0.2%
0.98863
 
0.2%
0.97362
 
0.2%
0.97161
 
0.2%
0.96561
 
0.2%
1.10460
 
0.2%
0.86960
 
0.2%
0.99959
 
0.1%
0.90657
 
0.1%
0.84657
 
0.1%
Other values (2117)39001
98.5%
ValueCountFrequency (%)
0.0171
 
< 0.1%
0.0191
 
< 0.1%
0.0214
< 0.1%
0.0221
 
< 0.1%
0.0242
< 0.1%
0.0252
< 0.1%
0.0272
< 0.1%
0.0293
< 0.1%
0.032
< 0.1%
0.0311
 
< 0.1%
ValueCountFrequency (%)
3.7561
< 0.1%
3.7131
< 0.1%
3.2841
< 0.1%
3.2131
< 0.1%
3.1981
< 0.1%
3.1821
< 0.1%
3.1021
< 0.1%
3.0991
< 0.1%
3.0691
< 0.1%
3.0281
< 0.1%

Y_04
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct10773
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.62119133
Minimum-0.331
Maximum98.794
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)< 0.1%
Memory size309.6 KiB
2022-08-06T19:07:10.634569image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-0.331
5-th percentile8.9393
Q111.822
median13.837
Q315.626
95-th percentile17.5587
Maximum98.794
Range99.125
Interquartile range (IQR)3.804

Descriptive statistics

Standard deviation2.686631665
Coefficient of variation (CV)0.1972391107
Kurtosis25.18483477
Mean13.62119133
Median Absolute Deviation (MAD)1.887
Skewness0.4534505598
Sum539494.525
Variance7.217989702
MonotonicityNot monotonic
2022-08-06T19:07:10.790782image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.85215
 
< 0.1%
14.24314
 
< 0.1%
13.34914
 
< 0.1%
15.70713
 
< 0.1%
15.46113
 
< 0.1%
13.8913
 
< 0.1%
14.40913
 
< 0.1%
14.77413
 
< 0.1%
15.06313
 
< 0.1%
15.43613
 
< 0.1%
Other values (10763)39473
99.7%
ValueCountFrequency (%)
-0.3311
< 0.1%
-0.3271
< 0.1%
-0.3081
< 0.1%
2.2421
< 0.1%
3.3121
< 0.1%
3.4471
< 0.1%
3.4781
< 0.1%
3.8331
< 0.1%
3.8471
< 0.1%
3.9241
< 0.1%
ValueCountFrequency (%)
98.7941
< 0.1%
33.3331
< 0.1%
25.9561
< 0.1%
21.4621
< 0.1%
21.4421
< 0.1%
20.891
< 0.1%
20.4761
< 0.1%
20.3211
< 0.1%
20.2091
< 0.1%
20.2041
< 0.1%

Y_05
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct10241
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.29046706
Minimum18.589
Maximum37.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:07:10.949069image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum18.589
5-th percentile26.512
Q129.768
median31.71
Q333.184
95-th percentile34.709
Maximum37.25
Range18.661
Interquartile range (IQR)3.416

Descriptive statistics

Standard deviation2.543221628
Coefficient of variation (CV)0.08127784168
Kurtosis0.489914823
Mean31.29046706
Median Absolute Deviation (MAD)1.658
Skewness-0.7720326285
Sum1239321.529
Variance6.467976249
MonotonicityNot monotonic
2022-08-06T19:07:11.089657image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.69218
 
< 0.1%
33.46517
 
< 0.1%
32.49116
 
< 0.1%
31.94915
 
< 0.1%
33.21515
 
< 0.1%
31.71315
 
< 0.1%
32.65915
 
< 0.1%
32.59315
 
< 0.1%
32.715
 
< 0.1%
32.79615
 
< 0.1%
Other values (10231)39451
99.6%
ValueCountFrequency (%)
18.5891
< 0.1%
19.3951
< 0.1%
19.7041
< 0.1%
20.0621
< 0.1%
20.0672
< 0.1%
20.1231
< 0.1%
20.1891
< 0.1%
20.241
< 0.1%
20.4171
< 0.1%
20.4621
< 0.1%
ValueCountFrequency (%)
37.251
< 0.1%
37.2251
< 0.1%
37.1012
< 0.1%
36.9951
< 0.1%
36.9791
< 0.1%
36.9151
< 0.1%
36.8681
< 0.1%
36.8371
< 0.1%
36.8081
< 0.1%
36.8061
< 0.1%

Y_06
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4269
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.52938208
Minimum-19.963
Maximum18.998
Zeros0
Zeros (%)0.0%
Negative99
Negative (%)0.2%
Memory size309.6 KiB
2022-08-06T19:07:11.261494image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-19.963
5-th percentile15.177
Q116.146
median16.694
Q317.164
95-th percentile17.758
Maximum18.998
Range38.961
Interquartile range (IQR)1.018

Descriptive statistics

Standard deviation1.89301384
Coefficient of variation (CV)0.1145241747
Kurtosis270.339787
Mean16.52938208
Median Absolute Deviation (MAD)0.501
Skewness-15.02970347
Sum654679.236
Variance3.583501399
MonotonicityNot monotonic
2022-08-06T19:07:11.417705image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.78238
 
0.1%
16.87236
 
0.1%
17.09933
 
0.1%
16.85932
 
0.1%
17.13832
 
0.1%
16.96732
 
0.1%
16.7232
 
0.1%
16.84731
 
0.1%
16.7631
 
0.1%
16.47531
 
0.1%
Other values (4259)39279
99.2%
ValueCountFrequency (%)
-19.9631
< 0.1%
-19.6021
< 0.1%
-19.5171
< 0.1%
-19.4721
< 0.1%
-19.4431
< 0.1%
-19.3671
< 0.1%
-19.3511
< 0.1%
-19.2521
< 0.1%
-19.232
< 0.1%
-19.0991
< 0.1%
ValueCountFrequency (%)
18.9981
< 0.1%
18.9921
< 0.1%
18.8881
< 0.1%
18.8571
< 0.1%
18.8241
< 0.1%
18.7861
< 0.1%
18.7531
< 0.1%
18.7281
< 0.1%
18.6921
< 0.1%
18.6851
< 0.1%

Y_07
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2394
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.155054107
Minimum0.502
Maximum5.299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:07:11.573918image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.502
5-th percentile2.53
Q12.863
median3.126
Q33.4335
95-th percentile3.864
Maximum5.299
Range4.797
Interquartile range (IQR)0.5705

Descriptive statistics

Standard deviation0.4189399013
Coefficient of variation (CV)0.1327837454
Kurtosis0.7671083874
Mean3.155054107
Median Absolute Deviation (MAD)0.283
Skewness0.08450194006
Sum124962.228
Variance0.1755106409
MonotonicityNot monotonic
2022-08-06T19:07:11.730131image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.00557
 
0.1%
2.9456
 
0.1%
3.13653
 
0.1%
2.98852
 
0.1%
3.12852
 
0.1%
3.03351
 
0.1%
3.27251
 
0.1%
2.97651
 
0.1%
3.0351
 
0.1%
3.0850
 
0.1%
Other values (2384)39083
98.7%
ValueCountFrequency (%)
0.5021
< 0.1%
0.6851
< 0.1%
0.7231
< 0.1%
0.8181
< 0.1%
0.8791
< 0.1%
0.9111
< 0.1%
0.9211
< 0.1%
0.9331
< 0.1%
0.9451
< 0.1%
0.9531
< 0.1%
ValueCountFrequency (%)
5.2991
< 0.1%
5.1181
< 0.1%
4.9991
< 0.1%
4.9911
< 0.1%
4.9821
< 0.1%
4.9271
< 0.1%
4.9181
< 0.1%
4.911
< 0.1%
4.8681
< 0.1%
4.851
< 0.1%

Y_08
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3672
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-26.29483879
Minimum-29.652
Maximum-23.785
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:07:11.888545image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-29.652
5-th percentile-27.4447
Q1-26.689
median-26.254
Q3-25.855
95-th percentile-25.283
Maximum-23.785
Range5.867
Interquartile range (IQR)0.834

Descriptive statistics

Standard deviation0.6605368289
Coefficient of variation (CV)-0.0251203985
Kurtosis0.7493218708
Mean-26.29483879
Median Absolute Deviation (MAD)0.415
Skewness-0.4373902743
Sum-1041459.68
Variance0.4363089024
MonotonicityNot monotonic
2022-08-06T19:07:12.029138image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-26.31441
 
0.1%
-26.09140
 
0.1%
-25.83840
 
0.1%
-26.43139
 
0.1%
-26.43539
 
0.1%
-26.0939
 
0.1%
-26.08138
 
0.1%
-26.37238
 
0.1%
-26.04537
 
0.1%
-26.12236
 
0.1%
Other values (3662)39220
99.0%
ValueCountFrequency (%)
-29.6521
< 0.1%
-29.6421
< 0.1%
-29.6051
< 0.1%
-29.5781
< 0.1%
-29.4521
< 0.1%
-29.3521
< 0.1%
-29.331
< 0.1%
-29.3241
< 0.1%
-29.3092
< 0.1%
-29.3061
< 0.1%
ValueCountFrequency (%)
-23.7851
< 0.1%
-24.0131
< 0.1%
-24.1171
< 0.1%
-24.1421
< 0.1%
-24.1581
< 0.1%
-24.1621
< 0.1%
-24.181
< 0.1%
-24.191
< 0.1%
-24.2071
< 0.1%
-24.2111
< 0.1%

Y_09
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3649
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-26.30862254
Minimum-29.523
Maximum-23.96
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:07:12.185351image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-29.523
5-th percentile-27.44
Q1-26.702
median-26.266
Q3-25.871
95-th percentile-25.311
Maximum-23.96
Range5.563
Interquartile range (IQR)0.831

Descriptive statistics

Standard deviation0.6535798156
Coefficient of variation (CV)-0.02484279877
Kurtosis0.7264309573
Mean-26.30862254
Median Absolute Deviation (MAD)0.414
Skewness-0.4318247115
Sum-1042005.613
Variance0.4271665753
MonotonicityNot monotonic
2022-08-06T19:07:12.325943image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-26.3143
 
0.1%
-26.22841
 
0.1%
-26.2838
 
0.1%
-26.10638
 
0.1%
-26.26537
 
0.1%
-26.12337
 
0.1%
-26.0437
 
0.1%
-26.37537
 
0.1%
-26.1137
 
0.1%
-26.33136
 
0.1%
Other values (3639)39226
99.0%
ValueCountFrequency (%)
-29.5231
< 0.1%
-29.4771
< 0.1%
-29.471
< 0.1%
-29.4271
< 0.1%
-29.3921
< 0.1%
-29.3761
< 0.1%
-29.3511
< 0.1%
-29.3391
< 0.1%
-29.3381
< 0.1%
-29.3311
< 0.1%
ValueCountFrequency (%)
-23.961
< 0.1%
-23.9851
< 0.1%
-24.0911
< 0.1%
-24.1041
< 0.1%
-24.1551
< 0.1%
-24.161
< 0.1%
-24.1891
< 0.1%
-24.2191
< 0.1%
-24.2421
< 0.1%
-24.2761
< 0.1%

Y_10
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4458
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-22.40006244
Minimum-31.119
Maximum-20.052
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:07:12.482151image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-31.119
5-th percentile-23.9517
Q1-22.871
median-22.275
Q3-21.791
95-th percentile-21.195
Maximum-20.052
Range11.067
Interquartile range (IQR)1.08

Descriptive statistics

Standard deviation0.920952195
Coefficient of variation (CV)-0.04111382268
Kurtosis10.34745855
Mean-22.40006244
Median Absolute Deviation (MAD)0.529
Skewness-1.837054602
Sum-887199.273
Variance0.8481529455
MonotonicityNot monotonic
2022-08-06T19:07:12.638371image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-22.01433
 
0.1%
-21.99533
 
0.1%
-21.91932
 
0.1%
-22.09632
 
0.1%
-22.32732
 
0.1%
-22.17631
 
0.1%
-22.09231
 
0.1%
-22.32931
 
0.1%
-22.06531
 
0.1%
-21.78630
 
0.1%
Other values (4448)39291
99.2%
ValueCountFrequency (%)
-31.1191
< 0.1%
-30.9491
< 0.1%
-30.9261
< 0.1%
-30.7881
< 0.1%
-30.6191
< 0.1%
-30.5871
< 0.1%
-30.5841
< 0.1%
-30.5481
< 0.1%
-30.5371
< 0.1%
-30.5071
< 0.1%
ValueCountFrequency (%)
-20.0521
 
< 0.1%
-20.0931
 
< 0.1%
-20.131
 
< 0.1%
-20.1471
 
< 0.1%
-20.2241
 
< 0.1%
-20.2351
 
< 0.1%
-20.2721
 
< 0.1%
-20.2883
< 0.1%
-20.311
 
< 0.1%
-20.3311
 
< 0.1%

Y_11
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4309
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.32506113
Minimum19.844
Maximum26.703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size309.6 KiB
2022-08-06T19:07:12.794583image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum19.844
5-th percentile22.815
Q123.836
median24.42
Q324.9115
95-th percentile25.514
Maximum26.703
Range6.859
Interquartile range (IQR)1.0755

Descriptive statistics

Standard deviation0.8301968024
Coefficient of variation (CV)0.03412927919
Kurtosis0.7579205164
Mean24.32506113
Median Absolute Deviation (MAD)0.532
Skewness-0.6749349242
Sum963442.696
Variance0.6892267307
MonotonicityNot monotonic
2022-08-06T19:07:12.937078image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.73734
 
0.1%
24.77634
 
0.1%
24.49633
 
0.1%
24.5832
 
0.1%
24.54232
 
0.1%
24.40932
 
0.1%
24.64432
 
0.1%
24.50931
 
0.1%
24.74131
 
0.1%
24.58831
 
0.1%
Other values (4299)39285
99.2%
ValueCountFrequency (%)
19.8441
< 0.1%
20.0311
< 0.1%
20.0451
< 0.1%
20.1011
< 0.1%
20.1751
< 0.1%
20.1941
< 0.1%
20.1991
< 0.1%
20.2951
< 0.1%
20.2981
< 0.1%
20.3341
< 0.1%
ValueCountFrequency (%)
26.7031
< 0.1%
26.6591
< 0.1%
26.6571
< 0.1%
26.5921
< 0.1%
26.5791
< 0.1%
26.5671
< 0.1%
26.5511
< 0.1%
26.5451
< 0.1%
26.4831
< 0.1%
26.481
< 0.1%

Y_12
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3673
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-26.23776173
Minimum-29.544
Maximum-23.722
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:07:13.675686image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-29.544
5-th percentile-27.38
Q1-26.63
median-26.198
Q3-25.799
95-th percentile-25.238
Maximum-23.722
Range5.822
Interquartile range (IQR)0.831

Descriptive statistics

Standard deviation0.6563285123
Coefficient of variation (CV)-0.02501465327
Kurtosis0.7459825
Mean-26.23776173
Median Absolute Deviation (MAD)0.413
Skewness-0.4446574078
Sum-1039199.029
Variance0.430767116
MonotonicityNot monotonic
2022-08-06T19:07:13.831901image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-26.02649
 
0.1%
-26.1741
 
0.1%
-26.07640
 
0.1%
-26.35839
 
0.1%
-26.11839
 
0.1%
-26.4438
 
0.1%
-26.29238
 
0.1%
-25.99837
 
0.1%
-25.91937
 
0.1%
-26.35437
 
0.1%
Other values (3663)39212
99.0%
ValueCountFrequency (%)
-29.5441
< 0.1%
-29.4531
< 0.1%
-29.4411
< 0.1%
-29.3671
< 0.1%
-29.3461
< 0.1%
-29.3411
< 0.1%
-29.3351
< 0.1%
-29.311
< 0.1%
-29.2871
< 0.1%
-29.2831
< 0.1%
ValueCountFrequency (%)
-23.7221
< 0.1%
-23.9471
< 0.1%
-23.951
< 0.1%
-24.0671
< 0.1%
-24.1511
< 0.1%
-24.161
< 0.1%
-24.2211
< 0.1%
-24.2281
< 0.1%
-24.2311
< 0.1%
-24.241
< 0.1%

Y_13
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3665
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-26.23386934
Minimum-29.448
Maximum-23.899
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:07:13.989978image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-29.448
5-th percentile-27.366
Q1-26.624
median-26.193
Q3-25.794
95-th percentile-25.2393
Maximum-23.899
Range5.549
Interquartile range (IQR)0.83

Descriptive statistics

Standard deviation0.6550900257
Coefficient of variation (CV)-0.02497115531
Kurtosis0.7518019689
Mean-26.23386934
Median Absolute Deviation (MAD)0.413
Skewness-0.4398630698
Sum-1039044.863
Variance0.4291429417
MonotonicityNot monotonic
2022-08-06T19:07:14.130562image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-26.09742
 
0.1%
-26.18741
 
0.1%
-26.33641
 
0.1%
-26.2840
 
0.1%
-26.15139
 
0.1%
-26.34638
 
0.1%
-26.03938
 
0.1%
-25.96837
 
0.1%
-26.21336
 
0.1%
-25.99536
 
0.1%
Other values (3655)39219
99.0%
ValueCountFrequency (%)
-29.4481
< 0.1%
-29.4431
< 0.1%
-29.3751
< 0.1%
-29.3681
< 0.1%
-29.3551
< 0.1%
-29.351
< 0.1%
-29.3011
< 0.1%
-29.2921
< 0.1%
-29.2361
< 0.1%
-29.2261
< 0.1%
ValueCountFrequency (%)
-23.8991
< 0.1%
-23.9361
< 0.1%
-23.9651
< 0.1%
-24.0211
< 0.1%
-24.1171
< 0.1%
-24.1231
< 0.1%
-24.1771
< 0.1%
-24.1941
< 0.1%
-24.2051
< 0.1%
-24.211
< 0.1%

Y_14
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3682
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-26.24586843
Minimum-29.62
Maximum-23.856
Zeros0
Zeros (%)0.0%
Negative39607
Negative (%)100.0%
Memory size309.6 KiB
2022-08-06T19:07:14.286774image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-29.62
5-th percentile-27.3817
Q1-26.64
median-26.204
Q3-25.809
95-th percentile-25.245
Maximum-23.856
Range5.764
Interquartile range (IQR)0.831

Descriptive statistics

Standard deviation0.6559887312
Coefficient of variation (CV)-0.02499398078
Kurtosis0.734812393
Mean-26.24586843
Median Absolute Deviation (MAD)0.413
Skewness-0.4307872388
Sum-1039520.111
Variance0.4303212155
MonotonicityNot monotonic
2022-08-06T19:07:14.427368image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-26.30346
 
0.1%
-26.02541
 
0.1%
-26.14839
 
0.1%
-25.85839
 
0.1%
-26.0839
 
0.1%
-26.17438
 
0.1%
-26.10538
 
0.1%
-25.83538
 
0.1%
-26.42437
 
0.1%
-26.06537
 
0.1%
Other values (3672)39215
99.0%
ValueCountFrequency (%)
-29.621
< 0.1%
-29.5291
< 0.1%
-29.4931
< 0.1%
-29.4341
< 0.1%
-29.341
< 0.1%
-29.3351
< 0.1%
-29.3121
< 0.1%
-29.2921
< 0.1%
-29.2821
< 0.1%
-29.281
< 0.1%
ValueCountFrequency (%)
-23.8561
< 0.1%
-24.0521
< 0.1%
-24.1372
< 0.1%
-24.1391
< 0.1%
-24.1651
< 0.1%
-24.1761
< 0.1%
-24.1921
< 0.1%
-24.1931
< 0.1%
-24.2081
< 0.1%
-24.2111
< 0.1%

Interactions

2022-08-06T19:07:03.701466image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:00.510877image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:03.407452image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:06.302657image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:09.305968image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:13.534395image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:16.513627image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:19.332354image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:22.307220image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:25.535582image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:28.287064image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:31.315799image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:34.293529image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:37.099958image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:40.470739image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:43.418142image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:46.167709image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:49.008942image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:51.826568image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:55.116960image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:58.039988image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:00.881246image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:03.828042image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:00.645551image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:03.541155image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:06.442303image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:09.442602image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:13.673025image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:16.644302image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:19.471274image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:22.445853image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:25.667376image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:28.434062image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:31.461392image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:34.421199image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:37.242776image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:40.616126image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:43.546109image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:46.296088image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:49.141978image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:51.951565image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:55.259220image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:58.181260image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:01.008741image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:03.956758image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:00.771180image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:03.672078image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:06.574702image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:09.571258image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:13.803501image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:16.766979image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:19.602921image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:22.577075image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:25.795776image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:28.574358image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:31.589631image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:34.551913image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:37.371406image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:40.744155image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:43.664024image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:46.426455image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:49.252974image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:52.079961image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:55.384221image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:58.298941image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:01.136485image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:04.088551image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:00.905845image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:03.805928image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:06.715851image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:09.717865image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:13.941388image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:16.897624image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:19.742785image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:22.713710image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:25.919775image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:28.716047image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:31.729221image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:34.675841image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:37.889364image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:40.888208image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:43.795486image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:46.556681image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:49.389611image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:52.222735image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:55.526730image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:58.440088image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:01.265198image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:04.215234image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:01.036501image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:03.935669image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:06.851931image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:09.849514image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:14.075030image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:17.024262image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:19.877398image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:22.847352image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:26.051234image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:28.847670image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:31.857108image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:34.809932image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:38.016989image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:41.014999image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:43.919305image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:46.684786image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:49.517628image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:52.347706image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:55.653401image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:58.567893image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:01.394199image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:04.340234image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:01.168153image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
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2022-08-06T19:06:15.443060image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:18.319472image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:21.241582image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:24.508866image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:27.312225image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:30.232830image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:33.222277image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:36.095507image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:39.417706image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:42.358722image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:45.177150image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:47.990131image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:50.810755image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:53.642135image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:56.990341image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:59.859860image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:02.684413image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:05.652714image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:02.489030image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:05.386910image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:08.357586image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:12.590249image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:15.573127image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:18.442121image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:21.369653image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:24.633431image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:27.424266image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:30.362799image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:33.353095image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:36.223641image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:39.539082image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:42.489655image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:45.292212image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:48.117438image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:50.937616image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:53.762311image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:57.117078image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:59.972277image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:02.811040image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:05.779368image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:02.618451image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:05.515631image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:08.492249image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:12.727883image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:15.706908image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:18.568811image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:21.502288image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:24.749968image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:27.551059image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:30.508957image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:33.491587image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:36.340033image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:39.673572image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:42.619728image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:45.405555image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:48.243928image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:51.059185image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:53.890325image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:57.252064image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:00.114574image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:02.931803image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:05.906106image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:02.749135image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:05.645026image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:08.626879image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:12.861526image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:15.839552image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:18.696439image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:21.635932image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:24.887675image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:27.671551image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:30.629204image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:33.619287image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:36.463630image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:39.815874image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:42.746406image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:45.532883image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:48.357193image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:51.190570image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:54.017056image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:57.377038image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:00.233487image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:03.059863image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:06.032253image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:02.878788image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:05.777355image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:08.760527image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:12.995168image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:15.973225image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:18.823126image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:21.768578image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:25.015414image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:27.799579image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:30.773406image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:33.746948image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:36.590373image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:39.943324image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:42.873024image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:45.659520image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:48.485312image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:51.309127image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:54.142052image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:57.503720image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:00.360068image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:03.189564image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:06.175966image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:03.014905image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:05.913947image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:08.901120image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:13.135462image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:16.113862image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:18.954749image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:21.908174image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:25.153774image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:27.926264image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:30.903102image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:33.894601image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:36.725505image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:40.081128image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:43.014640image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:45.788244image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:48.627581image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:51.446357image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:54.271191image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:57.650645image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:00.504045image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:03.316224image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:06.302505image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:03.142995image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:06.045258image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:09.035690image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:13.268107image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:16.245983image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:19.081411image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:22.040819image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:25.280365image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:28.053905image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:31.051813image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:34.019600image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:36.858653image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:40.210007image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:43.148560image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:45.911273image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:48.754181image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:51.572381image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:54.400789image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:57.777413image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:00.630177image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:03.446867image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:06.420941image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:03.273617image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:06.174612image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:09.171328image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:13.400752image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:16.380982image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:19.206696image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:22.173558image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:25.407975image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:28.176021image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:31.187203image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:34.165931image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:36.984158image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:40.345771image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:43.276098image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:46.038649image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:48.866610image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:51.699947image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:54.990256image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:06:57.902415image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:00.756754image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-08-06T19:07:03.574828image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2022-08-06T19:07:14.583578image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-08-06T19:07:14.833519image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-08-06T19:07:15.069646image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-08-06T19:07:15.303967image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-08-06T19:07:06.641396image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-08-06T19:07:07.111770image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

X_33X_34X_35X_36X_37X_38X_39X_40Y_01Y_02Y_03Y_04Y_05Y_06Y_07Y_08Y_09Y_10Y_11Y_12Y_13Y_14
01.7412.9912.8812.8912.99-16.41-16.36-17.032.0561.4561.68010.50229.63216.0834.276-25.381-25.529-22.76923.792-25.470-25.409-25.304
11.6612.9212.8712.8912.93-16.06-16.11-16.741.4461.1841.26818.50733.17916.7363.229-26.619-26.523-22.57424.691-26.253-26.497-26.438
21.6812.9712.8712.8713.00-16.16-16.17-16.761.2510.6650.78214.08231.80117.0802.839-26.238-26.216-22.16924.649-26.285-26.215-26.370
31.6812.9112.9712.9912.92-16.05-16.03-16.671.4641.0791.05216.97534.50317.1433.144-25.426-25.079-21.76524.913-25.254-25.021-25.345
41.8212.9612.8512.9112.96-16.25-16.23-16.850.9830.6460.68915.04732.60217.5693.138-25.376-25.242-21.07225.299-25.072-25.195-24.974
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